PPT-Descriptive Statistics: Numerical Measures

Distribution Chapter 3 BA 201 Distribution Measures of Distribution Shape Relative Location and Detecting Outliers Distribution Shape zScores Chebyshevs Theorem Empirical Rule Detecting Outliers. Types of Biological Data. Summary Descriptive Statistics. Measures of Central Tendency. Measures of Dispersion. Assignments. Scales of Measurement: General Comments . Any observation or experiment in biology involves the collection of information (observe plants). f. Some vocab . Statistics. . is . the. art of solving problems and answering questions by collecting and analysing data.. Data . are. . the. . facts. or . information. . we. . collect. and . into the Common Core Standards. A Professional Development Seminar sponsored by the Ann Arbor Chapter of the ASA. Name. School. Interesting Personal Statistic. Introductions. A Framework for Teaching . Dakota Davis. Slides taken from a . Workshop presented by Linda Henkel and Laura . McSweeney. of Fairfield University. Funded by the Core Integration Initiative and the Center for Academic Excellence at Fairfield University. Review Terms from Day 1. Descriptive Statistics. Review I. Variable = any trait that can change values from case to case. Must be: . Exhaustive:. . variables should consist of all possible values/attributes. Many . studies generate large numbers of data points, and to make sense of all that data, researchers use statistics that . summarize. the data, providing a better understanding of overall tendencies within the distributions of scores. Inferential Statistics. What You Need to Know for The Exam….. You will not have to conduct these tests in an exam(cue… sigh of relief). However you will have to;. Know the purpose of using Inferential Statistics.. Chapter 1: An Introduction to Statistics and Statistical Inference. 1. http://vadlo.com/cartoons.php?id=71. 0,1: . Introduction. : Goals. Create your own definition of . statistics.. State some applications of Statistics for your field.. Results/Discussion . Mohammed TA Omar . Ph.D. PT. Rehabilitation health Science-CAMS-KSU. Introduction to Biostatistics. . Introduction . Types of data ( levels of measurement ). Descriptive statistics. Descriptive Statistics Part I Each slide has its own narration in an audio file. For the explanation of any slide click on the audio icon to start it. Professor Friedman's Statistics Course by H & L Friedman is licensed under a  Economic Viability of Shared-use Kitchens Purdue University, Agricultural Economics Department Tomoko Hiramatsu Dr. Maria I. Marshall Economic Viability of Shared-Use Kitchens Members : Jodee Ellett Lecture 1. Harrison B. Prosper. Florida State University. European School of High-Energy Physics. Parádfürdő. , Hungary. . 5 . – . 18 . June, . 2013. 1. Outline. Lecture 1. Descriptive Statistics. Group data Vs. Ungrouped data . Statistical . data is of two types - Grouped and . Ungrouped. . Grouped data. : . Grouped . data is the type of data which is subdivided into classes. Grouped data is not purely raw data. . for the students of M.Sc. Food Technology and M.Sc. Nutrition Sciences. Mamta Sagar. Assistant Professor, Department of Bioinformatics. UIET, CSJMU University, Kanpur. History. The origin of Statistics have been started from the days of Chandra Gupta Maurya(322-298 BC) when the government used to collect data and information about wealth and population of the state..